Application Statistics for Msc CSML, DSML and ML
Dear University College London,
Could you provide the following application statistic for the enrolment in 2018/2019 for Msc Data Science and Machine Learning, Msc Computational Statistics and Machine Learning and Msc Machine Learning:
Number of applicants broken down by regions (e.g. Asia, North America)
Number of total offers awarded
Number of conditional offers awarded
Number of unconditional offers awarded
Number of offer accepted and expected to enrol
Number of offers awarded broken down by undergraduate grade for those that study in the UK (e.g. How many got first vs upper second)
Thank you
Yours faithfully,
James
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Dear James,
The University has carried out an initial assessment and in order for us to deal with your request we require you to provide some additional details specifically, your full name. Without this information, your request does not meet the criteria for a valid request for information set out in Section 8 of the Freedom of Information Act 2000 and is therefore refused.
I look forward to hearing from you.
Kind regards,
Mehwish Sultan
Data Protection and Freedom of Information Adviser
University College London
Legal Services, Finance and Business Affairs
E: [email address] Data Protection: [email address] FOI: [UCL request email].
Telephone: +44 (0)203 108 7862 (internal 57862)
Dear Finance.FOI Requests,
My full name is James Davenport
Yours sincerely,
James Davenport
Dear Finance.FOI Requests,
Can you please confirm that you are working on my request?
Yours sincerely,
James Davenport
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Data Protection & FOI
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Dear Mr Davenport,
We have completed the compilation of information in response to your request.
We can confirm that we do hold some of the information of the description specified in your request and this information, where it is not exempt, is provided below and attached.
As you can see, exact counts of four or less and the results of the enrolled students have been withheld because these are personal data of third parties or, if linked with other personal identifiers in the public domain, would be likely to become personal data. This information has been withheld under section 40(2) of the FOIA by virtue of s40 (3)(a)(i).
Section 40(2) of the FOIA allows a public authority to withhold information under the FOIA where (i) the requested information is personal data relating to someone other than the requester and (ii) its disclosure would breach any of the data protection principles. In this case we believe that the requested information could relate to and identify individual applicants and would be considered as their personal data. The disclosure of this personal data would not be within the reasonable expectations of the individuals concerned and it would be unfair to do so; this therefore breaches the first data protection principle.
It is for these reasons that this information is exempt under section 40(2) of the Act.
You are free to use any information supplied for your own use, including for non-commercial research purposes. The information may also be used for the purposes of news reporting. However, any other type of re-use, for example by publishing or issuing copies to the public, will require the permission of the copyright owner.
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[email address]
Kind regards,
Mehwish Sultan
Data Protection and Freedom of Information Adviser
University College London
Legal Services, Finance and Business Affairs
E: [email address] Data Protection: [email address] FOI: [UCL request email].
Telephone: +44 (0)203 108 7862 (internal 57862)
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